Disturbance Removal Device for Distance Sensor False Detection
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Solution Overview
Problem
Existing interference prevention devices with distance measurement sensors erroneously detect granular disturbance objects like raindrops or snow particles as work machines or people, leading to unnecessary warnings and interruptions in construction operations.
Innovation Solution
A disturbance removal device that uses distance measurement sensors to extract candidate pixels from distance images, calculates feature values indicating temporal changes, and removes pixels with excessive velocity, angle, or acceleration to distinguish and eliminate disturbance objects, ensuring accurate detection of target objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a distance measurement sensor is used to detect work machines and people, then interference prevention capability is improved, but false detection of disturbance objects (raindrops, snow particles) increases
Solution Approach 1:
The patent applies dynamics by utilizing the temporal变化 characteristics of detected objects. Disturbance objects like raindrops and snow particles exhibit different movement patterns (velocity, acceleration, trajectory changes) compared to work machines and people. The system dynamically analyzes these temporal characteristics across multiple measurement time points to distinguish between true targets and disturbance objects, thereby maintaining high detection accuracy while preventing false alarms.
Solution Approach 2:
The patent changes the detection parameters from static distance measurement to dynamic multi-parameter analysis. By measuring not only distance but also velocity, acceleration, and trajectory changes over time, the system creates a multi-dimensional parameter space for object characterization. This parameter transformation enables the differentiation of disturbance objects from legitimate targets based on their distinct motion signatures.
2Measurement precision
If disturbance objects are removed from distance images, then false detection is reduced, but operational complexity increases
Solution Approach 1:
The patent segments the detection process into distinct functional modules: a measurement unit for acquiring distance data, a calculation unit for computing temporal characteristics (velocity, acceleration), and a removal unit for eliminating disturbance objects. This segmentation allows each module to perform its specific function efficiently, reducing overall system complexity while achieving accurate disturbance object removal.
Solution Approach 2:
The system performs self-service by automatically calculating temporal characteristics and identifying disturbance objects without requiring manual intervention. The removal unit autonomously determines which detected objects are disturbance objects based on their motion characteristics and removes them from the distance image, enabling the system to self-correct detection errors in real-time.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Effectively prevents false detection of disturbance objects, reducing unnecessary warnings and operational interruptions by accurately removing granular objects from distance images while maintaining target object detection, thus enhancing operational safety and efficiency.
Implementation Method 1
a distance measurement sensor that chronologically acquires a plurality of distance images indicating a distance distribution of a surrounding environment
Data Source
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AI summary
An extraction unit (151) extracts, as a candidate pixel of a disturbance object, a predetermined number of pixels in order of smaller distance from each distance image acquired by a distance measurement sensor (16), the predetermined number being one or more. A calculation unit (152) calculates a feature value indicating a characteristic of temporal change between each candidate pixel in a distance image of a current frame and a corresponding candidate pixel in a distance image of a past frame. A removal unit (153) specifies, as a pixel indicating a disturbance object, a candidate pixel the feature value of which calculated by the calculation unit (152) is larger than a predetermined reference feature value, and removes the specified pixel from the distance image of the current frame.